At ClimateNetProject-TUMOLabs, I'm developing an end-to-end IoT weather forecasting system with a multi-step LightGBM pipeline for 48-hour-ahead predictions. It uses walk-forward validation and nightly self-retraining.
I'm also designing real-time data visualization interfaces with Python, Flask, and Flask-SocketIO, while programming Arduino and ESP32 microcontrollers.
For my PersonalPortfolioWebsite, I designed and deployed an interactive portfolio with a real-time virtual assistant. I built it with Flask, JavaScript, HTML, and CSS, and deployed it on AWS EC2 with Nginx and Gunicorn.
At AerodynamicsCompany, I designed aerodynamic components for UAV prototypes and contributed to structural layout and performance testing. I also developed and pitched an LCNC platform concept and demo with a team at the Ministry of High-Tech Industry hackathon.
